Triple

T18964619
Position Surface form Disambiguated ID Type / Status
Subject Nantes metropolitan area E464001 entity
Predicate hasSuburb P747 FINISHED
Object Sautron NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sautron | Statement: [Nantes metropolitan area, hasSuburb, Sautron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sautron
Context triple: [Nantes metropolitan area, hasSuburb, Sautron]
  • A. Sautron chosen
    Sautron is a commune in the Loire-Atlantique department in western France, located near the city of Nantes.
  • B. Lothier
    Lothier was a medieval duchy in the Low Countries, historically associated with the Duchy of Brabant and forming part of the Holy Roman Empire.
  • C. Thiviers
    Thiviers is a small commune in southwestern France’s Dordogne department, known for its traditional markets and role as a local center in the Périgord Vert region.
  • D. Héricourt
    Héricourt is a commune in eastern France known for its historical architecture and location within the Bourgogne-Franche-Comté region.
  • E. Douaumont
    Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon